Triple

T20055720
Position Surface form Disambiguated ID Type / Status
Subject Dhupgarh E499326 entity
Predicate highestPointOf P1674 FINISHED
Object Satpura Range NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Satpura Range | Statement: [Dhupgarh, highestPointOf, Satpura Range]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satpura Range
Context triple: [Dhupgarh, highestPointOf, Satpura Range]
  • A. Satpura Range chosen
    The Satpura Range is a prominent mountain range in central India known for its forested hills, rich biodiversity, and significant plateaus and valleys.
  • B. Ajanta Range
    The Ajanta Range is a hill range in the Deccan region of Maharashtra, India, known for its rugged terrain and proximity to the famous Ajanta Caves.
  • C. Satpura plateau
    The Satpura plateau is a rugged highland region in central India known for its forested hills, rich biodiversity, and role as a watershed between major river systems.
  • D. Parasnath Range
    Parasnath Range is a hill range in Jharkhand, India, known for its religious significance to Jainism and its highest peak, Parasnath Hill.
  • E. Shakarparian Hills
    Shakarparian Hills is a scenic hill area in Islamabad, Pakistan, known for its viewpoints, parks, and national monuments overlooking the city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66332b300819097f5dca1636e5822 completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:38 p.m.